The exponential growth in computational needs across industries has created a demand for a modern guide that consolidates both theoretical and hands-on knowledge of high performance computing (HPC). High-Performance Computing: Applications and Frontiers offers a comprehensive and up-to-date reference to HPC. Sitting alongside the companion text, Foundations of High Performance Computing, High-Performance Computing: Applications and Frontiers builds on the fundamental knowledge to examine specialized tools, emerging trends including parallel and distributed computing, GPU programming, cloud-based HPC, and quantum computing, that define HPC's role in cutting-edge research and industry applications. The volume is tailored for advanced students, researchers, and professionals ready to explore advanced HPC programming, optimization, and applications, and features topics such as domain-specific implementations, machine learning, and the future of HPC. High-Performance Computing: Applications and Frontiers covers essential modern topics such as containerization, AI-driven HPC, hybrid/multi-cloud HPC strategies, or advancements in GPU and quantum computing. Readers will find High-Performance Computing: Applications and Frontiers is a current, versatile reference that blends theoretical principles with practical examples, preparing them to navigate both traditional and emerging HPC challenges effectively. Offers comprehensive coverage of modern HPC topics, including hybrid cloud HPC, quantum computing, and GPU optimization Provides hands-on examples, exercises, and access to code repositories to solidify practical understanding Sits alongside the companion, Foundations of High Performance Computing, to develop the reader's understanding and skills from introduction to advance level